What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Algorithm
- Computer network
His scientific interests lie mostly in Electronic engineering, Mathematical optimization, Algorithm, Telecommunications link and Detector.
The concepts of his Electronic engineering study are interwoven with issues in Spread spectrum, Radio receiver, Communication channel and Wireless.
His Mathematical optimization research is multidisciplinary, incorporating elements of Efficient energy use and Precoding.
His study in the field of Computational complexity theory, Iterative method and Conjugate gradient method is also linked to topics like Infinite impulse response.
The Telecommunications link study which covers Beamforming that intersects with MIMO, Base station, Channel state information and Antenna.
His Detector research incorporates elements of Single antenna interference cancellation, Signal processing and Communications system.
His most cited work include:
- Positioning for NLOS Propagation: Algorithm Derivations and Cramer–Rao Bounds (155 citations)
- Cooperative MIMO-OFDM Cellular System with Soft Handover Between Distributed Base Station Antennas (131 citations)
- Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink (116 citations)
What are the main themes of his work throughout his whole career to date?
Markku Juntti spends much of his time researching Electronic engineering, MIMO, Communication channel, Algorithm and Telecommunications link.
He has researched Electronic engineering in several fields, including Wireless, Radio receiver, Interference and Detector.
The study incorporates disciplines such as Minimum mean square error, Control theory, Spectral efficiency and Orthogonal frequency-division multiplexing in addition to MIMO.
The Algorithm study combines topics in areas such as Detection theory and Transmission.
His Telecommunications link research is multidisciplinary, incorporating perspectives in Real-time computing, Beamforming, Mathematical optimization and Base station.
Markku Juntti interconnects Transmitter power output and Antenna in the investigation of issues within Beamforming.
He most often published in these fields:
- Electronic engineering (34.50%)
- MIMO (29.77%)
- Communication channel (28.72%)
What were the highlights of his more recent work (between 2018-2021)?
- Electronic engineering (34.50%)
- Communication channel (28.72%)
- MIMO (29.77%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Electronic engineering, Communication channel, MIMO, Beamforming and Wireless.
His Electronic engineering study incorporates themes from Transceiver, Terahertz radiation, Extremely high frequency, Amplifier and Telecommunications link.
His work deals with themes such as Algorithm, Overhead, Real-time computing and Base station, which intersect with Communication channel.
His Algorithm research integrates issues from Minimum mean square error and Upper and lower bounds.
His biological study spans a wide range of topics, including Computational complexity theory, Computer engineering and Detector.
His Beamforming research includes themes of Transmitter power output, Optimization problem, Mathematical optimization, Spectral efficiency and Channel state information.
Between 2018 and 2021, his most popular works were:
- Massive MIMO Detection Techniques: A Survey (62 citations)
- Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems (31 citations)
- Adaptive Beamforming Design for mmWave RIS-Aided Joint Localization and Communication (31 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Computer network
- Algorithm
Electronic engineering, MIMO, Communication channel, Wireless and Extremely high frequency are his primary areas of study.
Markku Juntti studies Electronic engineering, focusing on Bandwidth in particular.
His MIMO research is multidisciplinary, relying on both Detector, Low complexity and Computer engineering.
His studies deal with areas such as Algorithm and Beamforming as well as Communication channel.
His study in Algorithm is interdisciplinary in nature, drawing from both Minimum mean square error and Upper and lower bounds.
His research in Wireless tackles topics such as Telecommunications link which are related to areas like Interference, Moment-generating function, Throughput and Fading.
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